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Regression Machine Learning Project
Tensorflow Lattice Regression for predicting house prices
This model trains according to the data and makes a Polynomial Regression curve of degree 16. The model is regularized using Lasso regression. It also compares the predicted values with original outputs and for different alphas.
Homework for Coursera course
Score prediction in T20 cricket is based on CRR which is mostly inaccurate. This Machine Learning project considers various factors that can impact the score prediction and utilizes the available previous matches data to achieve a more accurate prediction. We have evaluated 6 different algorithms and found out that CatBoost gives the best results.